Re: Memristor cross bar arrays for faster AI neural nets and math?

Jeroen Belleman <jeroen@nospam.please> wrote:

On 3/18/24 11:49, Liz Tuddenham wrote:

Jeroen Belleman <jeroen@nospam.please> wrote:
 

On 3/18/24 05:55, Jan Panteltje wrote:

Source:
University of Massachusetts Amherst
Summary:
A team of engineers has proven that their analog computing device,
called a memristor, can complete complex, scientific computing tasks
while bypassing the limitations of digital computing.
https://www.sciencedaily.com/releases/2024/03/240314145325.htm
>
bit like our neural nets...

>
I have an issue with calling a memristor a 'computing device'. If
you accept that, then so are capacitors and inductors!

 
I don't see the problem.  Switches, relays, beads on a string can all be
computing devices - and not all of them have 'memories'.  Pots have been
used as computing elements on the front panel of analogue computers for
years, so what is the difference between them (set by hand) and a
memristor (set electronically)?
 
...and yes, capacitors are definitely computing devices: Blumlein/Miller
integrator.

 
Well, then so is any electronic component.
 
I'm old enough to have played with analog computers. They were
fun to solve differential equations with. Not necessarily
electronic, either. I've also done it with pneumatic stuff,
bellows, nozzles and flapper valves, and with water levels in
vertical pipes. Those were real fun too. You could *see* what
was going on without instrumentation.

Whiffle tree?
Used in player pianos and organs for converting binary pneumatic signals
into analogue movement.  (...and previous to that, for summing the
tractive effort of a team of horses.)


--
~ Liz Tuddenham ~
(Remove the ".invalid"s and add ".co.uk" to reply)
www.poppyrecords.co.uk